**Core Concept**
The **Enzyme-Linked Immunosorbent Assay (ELISA)** is a laboratory technique used to detect and quantify specific antibodies or antigens in a sample. In a population with **low prevalence** of a disease, the majority of the population will be disease-free.

**Why the Correct Answer is Right**
Performing **double screening ELISA tests** in a population with low prevalence would increase the **Positive Predictive Value (PPV)**, as the second test would help confirm the true positives. However, the exact outcome depends on the options provided, which are not specified. Generally, repeating a test like ELISA can help reduce **false positives** by confirming results.

**Why Each Wrong Option is Incorrect**
**Option A:** Without the specific details of option A, we cannot directly address why it is incorrect, but any option suggesting a decrease in test accuracy or an increase in false negatives would be incorrect.
**Option B:** Similarly, without specifics, we can say that if option B suggests that double screening would not improve test specificity or sensitivity, it would be misleading.
**Option C:** If option C implies that double screening would have no benefit in a low-prevalence setting, it underestimates the value of confirming positives.
**Option D:** If option D suggests a negative outcome without basis, it would be incorrect.

**Clinical Pearl / High-Yield Fact**
In populations with **low disease prevalence**, the use of highly sensitive tests like ELISA followed by a confirmatory test can significantly improve the **diagnostic accuracy** by reducing false positives. This approach is crucial for diseases where the consequences of false positives are significant.

**Correct Answer:** Correct Answer: D. False positives will decrease.